How to solve Python code intrusive errors?

Python is an interpreted language, the code is easy to read and write and the syntax is simple, so it has become very popular in recent years. However, Python's code is highly intrusive, that is, global variables and functions are more likely to be used in the code. In large projects, problems such as naming conflicts can easily occur, leading to code errors. To solve the highly intrusive errors in Python code, you can start from the following aspects.

1. Use classes and modules
Python uses an object-oriented approach to manage state, which can greatly reduce the use of global variables. Classes can be used to store state and data, thus avoiding naming conflicts. Modules can introduce required functions and classes, and can also effectively avoid the problem of global variables.

2. Using packages
Package is a higher-level module concept that allows better management of namespaces. Some modules within a package can be imported from external packages and renamed to avoid conflicts with global variables. Even using the same namespace in different packages will not cause naming conflicts.

3. Use virtual environment
Virtual environment is a feature of Python that allows multiple versions of Python to be used on the same computer, and each version can use its own package. This approach avoids conflicts between global variables and libraries. In a virtual environment, each version of Python can run in its own environment. These environments are independent and will not affect other versions or other environments.

4. Using namespace
The namespace in Python is a collection of naming relationships, which maps the scope and role relationships owned by variable names to the objects of the variables. Namespaces effectively separate namespaces within your code, thus separating your code. If you define a variable within a function, the variable is only visible inside the function and does not affect other parts of the code.

5. Use functional programming
Functional programming is a programming method without side effects. It believes that code should run like a mathematical function, and the output depends only on the input. Therefore, there are no global variables in functional programming, avoiding naming conflicts. Functional programming also has good maintainability and scalability.

Summary:
The highly intrusive nature of Python code is a problem that is easily encountered during the development process. But after the above suggestions, we can effectively avoid these problems and write better Python code. Using methods such as classes, modules, packages, namespaces and functional programming, you can better control the namespace, reduce the use of global variables and functions, and reduce the probability of errors. In actual development, choosing the most suitable method based on actual needs is the key.

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